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Record W2026685716 · doi:10.1016/j.egypro.2014.11.200

Thermal and Oxidative Degradation of Aqueous N, N-Diethylethanolamine (DEEA) at Stripping Conditions for CO2 Capture

2014· article· en· W2026685716 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnergy Procedia · 2014
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsDegradation (telecommunications)Aqueous solutionAutoclaveChemistryFoulingAmine gas treatingSolventNuclear chemistryOrganic chemistryMembraneBiochemistry

Abstract

fetched live from OpenAlex

An exact and reliable estimation of amine degradation, which can lead to significant problems, such as solvent losses, degradation by-products, fouling, foaming, corrosion, and increasing solution viscosity, is very important for development of innovative amines with higher chemical stability. In this study, thermal and oxidative degradations of aqueous N, N- Diethylethanolamine (DEEA) solution with CO 2 were investigated in a 600 mL stainless steel autoclave and compared with aqueous MEA solution. The results showed that DEEA solutions demonstrated a higher resistance to thermal degradation. The influence of key operating parameters, such as temperature, CO 2 loading, and DEEA concentration, on DEEA loss (mol%) were also investigated. In addition, the possible mechanisms of DEEA thermal degradation have been developed on the basis of the identified products.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.196
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it